Next Generation of Explainable Intelligence
We build technologies that reconstruct the structure of reality.
By mapping raw numbers, signals, and images into semantic structures, we deliver intelligence that adapts without labels, explains every decision, and stays resilient when data changes.
OUR TECHNOLOGIES
Products built on structural intelligence
Two entry points: architecture drift in code review, and phase-space bridges across modalities.
Detects structural anomalies in pull requests. Keeps your repo’s architecture aligned — automatically. Not another linter. A signal layer for architectural review.
GitHub PR workflow
Repo-specific baseline
High signal
CI Autopsy posts a GitHub Check with root cause, key lines, a focused log excerpt, and Do now. If evidence is insufficient, it chooses abstain and tells you what’s missing for a confident call.
GitHub PR workflow
Repo-specific baseline
High signal
OUR OPEN SOURCE
Core building blocks of the paradigm
We publish foundational components — enabling researchers and developers to explore new forms of structural intelligence.
PIF maps any data — tables, images, signals, actions — into a shared phase space. This allows systems to connect modalities, find recurring patterns, and return results back into discrete form.
Open source
Interchange format
Framework
OUR RESEARCH FOUNDATUIN
Publications that define the stack
A research-driven approach to explainability: structure first, semantics as a consequence.
© 2026 • Build systems that reconstruct the structure of reality